The present study investigates the roles of exogenous proline (Pro, 5 mM) and glycine betaine (GB, 5 mM) in improving salt stress tolerance in salt sensitive (BRRI dhan49) and salt tolerant (BRRI ...dhan54) rice (Oryza sativa L.) varieties. Salt stresses (150 and 300 mM NaCl for 48 h) significantly reduced leaf relative water (RWC) and chlorophyll (chl) content and increased endogenous Pro and increased lipid peroxidation and H2O2 levels. Ascorbate (AsA), glutathione (GSH) and GSH/GSSG, ascorbate peroxidae (APX), monodehydroascorbate reductase (MDHAR), dehydroascorbate reductase (DHAR), glutathione reductase (GR), glutathione peroxidase (GPX), catalase (CAT), and glyoxalase I (Gly I) activities were reduced in sensitive variety and these were increased in tolerant variety due to salt stress. The glyoxalase II (Gly II), glutathione S-transferase (GST), and superoxide dismutase (SOD) activities were increased in both cultivars by salt stress. Exogenous Pro and GB application with salt stress improved physiological parameters and reduced oxidative damage in both cultivars where BRRI dhan54 showed better tolerance. The result suggests that exogenous application of Pro and GB increased rice seedlings’ tolerance to salt-induced oxidative damage by upregulating their antioxidant defense system where these protectants rendered better performance to BRRI dhan54 and Pro can be considered as better protectant than GB.
The transmission of novel coronavirus (COVID-19) can be reduced by implementing a lockdown policy, which has also been proven as an effective control measure for air pollution in the urban cities. In ...this study, we applied ground- and satellite-based data of five criteria air pollutants (PM2.5, NO2, SO2, O3, and CO) and meteorological factors from March 8 to May 15, 2020 (before, partial-, and full-lockdown). The generalized additive models (GAMs), wavelet coherence, and random forest (RF) model were employed to explore the relationship between air quality indicators and COVID-19 transmission in Dhaka city. Results show that overall, 26, 20.4, 17.5, 9.7 and 8.8% declined in PM 2.5, NO2, SO2, O3, and CO concentrations, respectively, in Dhaka City during the partial and full lockdown compared to the period before the lockdown. The implementation of lockdown policy for containing COVID-19 transmission played a crucial role in reducing air pollution. The findings of wavelet coherence and partial wavelet coherence demonstrate no standalone coherence, but interestingly, multiple wavelet coherence indicated a strong short-term coherence among air pollutants and meteorological factors with the COVID-19 outbreak. Outcomes of GAMs indicated that an increase of 1-unit in long-term exposure to O3 and CO (lag1) was associated with a 2.9% (95% CI: −0.3%, −5.6%), and 53.9% (95% CI: 0.2%, −107.9%) decreased risk of COVID-19 infection rate during the full-lockdown period. Whereas, COVID-19 infection and MT (mean temperature) are modulated by a peak during full-lockdown, which is mostly attributed to contact transmission in Dhaka city. RF model revealed among the parameters being studied, MT, RH (relative humidity), and O3 were the dominant factors that could be associated with COVID-19 cases during the study period. The outcomes reported here could elucidate the effectiveness of lockdown scenarios for COVID-19 containment and air pollution control in Dhaka city.
Display omitted
•The lockdown policy triggered a sudden reduction of air pollution in Dhaka city.•The containment policy did not play a crucial role to modulate COVID-19 infection.•The air quality parameters can't be explained as COVID-19 transmission modulator.
This article serves as an update to the manuscript with the same title published back in 2010. Since then, Malaysia has seen some major changes in its energy and electricity generation scene. The ...country is now in the 11th Malaysian Plan (11MP) and its final thrust towards the high-income status targeted by 2020. Keeping to the scope in addressing the country's energy security and sustainability through non-renewable and renewable energy (RE), this article shall update on the existing and new significant energy-related events that have taken place and how they have affected the energy landscape of the country. In addition to that, the important role of the various energy efficiency (EE) and conservation practices set in place to ensure sustainable demand growth is also highlighted. The removal of fuel subsidy by the Malaysian government in 2014, although as unpopular as it may seem, was necessary as part of its energy reform to implement a more common energy regulatory framework involving all relevant agencies to safeguard a secured and sustainable energy future is also covered here. Lastly, latest development and issues surrounding the nuclear dream that the government is currently pursuing will also be discussed.
Heavy metal toxicity is one of the most devastating abiotic stresses. Heavy metals cause serious damage to plant growth and productivity, which is a major problem for sustainable agriculture. It ...adversely affects plant molecular physiology and biochemistry by generating osmotic stress, ionic imbalance, oxidative stress, membrane disorganization, cellular toxicity, and metabolic homeostasis. To improve and stimulate plant tolerance to heavy metal stress, the application of biostimulants can be an effective approach without threatening the ecosystem. Melatonin (
-acetyl-5-methoxytryptamine), a biostimulator, plant growth regulator, and antioxidant, promotes plant tolerance to heavy metal stress by improving redox and nutrient homeostasis, osmotic balance, and primary and secondary metabolism. It is important to perceive the complete and detailed regulatory mechanisms of exogenous and endogenous melatonin-mediated heavy metal-toxicity mitigation in plants to identify potential research gaps that should be addressed in the future. This review provides a novel insight to understand the multifunctional role of melatonin in reducing heavy metal stress and the underlying molecular mechanisms.
Increased consumption of water resource due to rapid growth of population has certainly reduced the groundwater storage beneath the earth which leads certain challenges to human being in recent time. ...For optimal management of this vital resource, exploration of groundwater potential zone (GWPZ) has become essential. We have applied Analytical Hierarchy Process (AHP), Frequency Ratio (FR) and two machine learning techniques specifically Random Forest (RF) and Naïve Bayes (NB) here to delineate GWPZ in Gandheswari River Basin in Chota Nagpur Plateau, India. To achieve the goal of the study, twelve factors that determine occurrence of groundwater have been selected for inter-thematic correlations and overlaid with location of wells. These factors include elevation, drainage density, slope, lithology, geomorphology, topographical wetness index (TWI), distance from the river, rainfall, lineament density, Normalized Difference Vegetation Index (NDVI), soil, and Land use and Land cover (LULC). A total 170 points including 85 in well site and 85 in non-well site have been selected randomly and allocated into two parts: training and testing at the share of 70:30. The implemented methods have significantly provided five GWPZs specifically Very Good (VG), Good (G), Moderate (M), Poor (P) and Very Poor (VP) with high and acceptable accuracy. The study also finds that geomorphology, slope, rainfall and elevation have greater importance in shaping GWPZs than LULC, NDVI, etc. Model performance has been tested with receiver operator characteristics (ROC), Accuracy (ACC), Kappa Coefficient, MAE, RMSE, etc., methods. Area under curve (AUC) in ROC curve has revealed that accuracy level of AHP, FR, RF and NB is 78.8%, 81%, 85.3% and 85.5, respectively. The machine learning techniques coupled with AHP and FR unveil effective delineation of groundwater potential area in said river basin which by genetically offers low primary porosity due to lithological constrains. Therefore, the study can be helpful in watershed management and identifying appropriate location wells in future.
is a pathogenic bacterium associated with various gastrointestinal diseases, including chronic gastritis, peptic ulcers, mucosa-associated lymphoid tissue lymphoma, and gastric cancer. The increasing ...rates of
antibiotic resistance and the emergence of multidrug-resistant strains pose significant challenges to its treatment. This comprehensive review explores the mechanisms underlying the resistance of
to commonly used antibiotics and the clinical implications of antibiotic resistance. Additionally, potential strategies for overcoming antibiotic resistance are discussed. These approaches aim to improve the treatment outcomes of
infections while minimizing the development of antibiotic resistance. The continuous evolution of treatment perspectives and ongoing research in this field are crucial for effectively combating this challenging infection.
Protein kinases play pivotal roles in numerous cellular functions; however, the specific substrates of each protein kinase have not been fully elucidated. We have developed a novel method called ...kinase-interacting substrate screening (KISS). Using this method, 356 phosphorylation sites of 140 proteins were identified as candidate substrates for Rho-associated kinase (Rho-kinase/ROCK2), including known substrates. The KISS method was also applied to additional kinases, including PKA, MAPK1, CDK5, CaMK1, PAK7, PKN, LYN, and FYN, and a lot of candidate substrates and their phosphorylation sites were determined, most of which have not been reported previously. Among the candidate substrates for Rho-kinase, several functional clusters were identified, including the polarity-associated proteins, such as Scrib. We found that Scrib plays a crucial role in the regulation of subcellular contractility by assembling into a ternary complex with Rho-kinase and Shroom2 in a phosphorylation-dependent manner. We propose that the KISS method is a comprehensive and useful substrate screen for various kinases.
The current study investigates the effects of thermal radiation and Lorentz’s force on heat and mass flow in a nanofluid with a magnetic field and free convection, as it passes over a vertical ...permeable sheet. The dominant PDEs are turned into linked nonlinear ODEs using an appropriate similarity transformation. Using the MATLAB ODE45 tool, dimensionless ODEs are numerically computed using the finite difference procedure. Four different water-based nanofluids are considered, including copper, titanium dioxide, aluminum oxide, and silver. The influence of emerging dimensionless numbers and other parameters, such as the magnetic force parameter, the radiation parameter, the suction parameter, the Prandtl number, the Schmidt number, the Dufour number, as well as for constant values of the modified local Grashof number and local Grashof number on the concentration, velocity, and temperature profiles is emphasized and mentioned. Moreover, the visual representation of the effects of a volume percentage of up to 4% copper nanoparticles on the distributions of concentration, temperature, and velocity is also shown. The temperature profile, concentration profile, and velocity profile all grow with an increase in the volume percent of copper nanoparticles between 0.00 and 0.04. Furthermore, numerous scenarios are investigated for the distributions of the local Sherwood number, the local Nusselt number, and the local skin friction coefficient. The local Nusselt number decreases, and the local skin friction coefficient and Sherwood number increase about by 30 %, 45 %, and 60 % respectively due to increasing the value of volume fraction from 0 % to 4 %. The local skin friction coefficient increases and the local Nusselt number decreases by about 15 % and 39 % respectively for rising values of the thermal radiation number from 0.5 to 3.5. In addition, for magnetic force parameter values between 0.5 and 4.0, the local skin friction coefficient drops by about 13 %.
Given the significance of the transportation sector to the economy of a country, major companies and government-linked entities have invested in infrastructure and transportation services. ...Nonetheless, the sector faces issues relating to traffic congestion, energy consumption, and environmental impacts such as air pollution and carbon emissions. To address and analyze these issues, the current study employed microscopic modeling using the AIMSUN software, which allowed for detailed modeling and simulation. The current study examined the impacts of different operating conditions, namely: internal combustion engine vehicles (ICEVs) and electric vehicles (EVs), on energy consumption, energy savings, cost savings, and emissions traveling on a total of six (6) routes: (i) long-distance highway travel, (ii) short-distance highway travel, (iii) long-distance urban travel, (iv) short-distance urban travel, (v) long-distance suburban travel, and (vi) short-distance suburban travel. The impacts of the traffic management systems, such as traffic lights, roundabouts, and road altitude, were also analyzed in this research. The current study discovered that, on average, EVs consumed 30 percent less energy than ICEVs and a 26 percent energy cost saving for long-distance highway travel. On long-distance urban travel, EVs experienced higher energy and cost savings than ICEVs, with 86 percent and 64 percent, respectively. In addition, EVs had lower carbon dioxide emissions than ICEVs. This study concludes that EVs offer positive impacts on energy cost savings and carbon dioxide emissions reduction for all six (6) simulated routes in Malaysia compared to ICEVs, thereby contributing to the existing literature on EVs in Malaysia.
Considering that renewable energy is the primary energy source in the future, this study investigates biomass power for sustainable and secure energy supply. Biomass fuels in Malaysia include empty ...fruit bunch, mesocarp fiber, palm kernel shell, oil palm frond, oil palm trunk from palm oil plantation, and woody biomass from forests. The moisture content and heating value of palm oil-based biomass fuels are analyzed relative to their cost savings in a 10 MW biomass power plant. The net present value, internal rate of return, and payback period for various finance options and at various system efficiencies are also presented. Results indicate that for an empty fruit bunch priced at MYR 20/t without loan, the net present values are MYR 45.31 million, MYR 54.32 million, and MYR 57.74 million, with 20%, 30%, and 40% system efficiencies, respectively; the internal rates of returns are 21.88%, 22%, and 21.11%, respectively; and the payback periods are 4.16, 4.20, and 4.22 y, respectively. The 10 MW plant releases 50,130 t less CO2, 750 t less SO2, 218.65 t less NOx, and 22.83 t less CO emissions in the environment compared with the existing energy mix.
•Biomass-based power generation can secure sustainable and clean energy supply.•Moisture content of biomass affects energy conversion efficiency and cost.•Low-cost palm biomass is a potential source of biomass-based power in Malaysia.•Biomass-based power plant can save currency by reducing import of fossil fuels.•The plant can improve environmental sustainability by reducing gas emissions.
PDF
